Senior Product Owner

Job Summary We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives.   Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Product Owner for Stellus Rx will be a key member of our Product Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate. If you love serving others and would like to make a material difference in an industry-transforming organization, we invite you to apply. This role is designed for a product leader who actively uses AI to sharpen discovery, accelerate delivery, and generate deeper insights — replacing manual research, reporting, and backlog management activities with smarter, faster approaches that raise the quality bar across every initiative. ROLE AND RESPONSIBILITIES AI-Augmented Product Strategy & Roadmapping - Own and drive product strategy in alignment with company and product leadership objectives; use AI tools to analyze market signals, synthesize stakeholder input, and identify roadmap opportunities faster than manual research allows. - Translate strategy into multi-quarter roadmaps aligned to OKRs and business metrics — leveraging AI to model prioritization scenarios, surface trade-off implications, and stress-test assumptions across clinical, operational, financial, and technical constraints. - Lead cost-benefit and ROI analysis to guide prioritization; use AI-assisted modeling to accelerate business case development and increase analytical rigor. - Drive roadmap alignment with senior leadership, using AI-generated summaries and impact narratives to communicate clearly and efficiently. AI-Powered Discovery & User Research - Lead discovery efforts including stakeholder interviews, journey mapping, and workflow optimization — using AI tools to synthesize qualitative research, surface patterns, and generate insights from large volumes of user and clinical feedback. - Use AI to analyze product feedback, support data, and usage patterns to continuously inform and reprioritize the product backlog with evidence rather than assumption. - Support and maintain the product's feedback collection mechanism; leverage AI to process and categorize customer feedback at scale and convert it into actionable feature backlog items. AI-Assisted Backlog Management & Story Writing - Own a complex, multi-initiative backlog; use AI tools to draft, refine, and quality-check user stories — ensuring consistent inclusion of acceptance criteria, non-happy path scenarios, edge cases, integration dependencies, reporting requirements, and monitoring & alerting requirements. - Apply AI to accelerate backlog refinement, sprint planning preparation, and release readiness documentation — reducing manual overhead while improving story quality and team clarity. - Consistently demonstrate best practices in backlog refinement, story writing, and release readiness; set the standard for AI-augmented product delivery practices across the team. - Actively participate in and lead Agile ceremonies including refinements and sprint demos. Data, KPIs & AI-Enhanced Impact Reporting - Define KPIs and success metrics for initiatives; specify event tracking requirements (e.g., Heap instrumentation) for key user behaviors. - Partner with Data teams to develop dashboards and post-release impact reporting — using AI to accelerate dashboard design and automate the generation of outcome summaries for leadership. - Use AI-assisted analytics to proactively monitor initiative performance, detect early signals of underperformance, and recommend course corrections before issues escalate. - Communicate initiative performance, roadmap updates, and outcome metrics to senior leadership; use AI tools to generate concise, high-quality executive reporting efficiently. Stakeholder Partnership & Risk Management - Act as the primary product partner to clinical, operational, and executive stakeholders; influence prioritization through AI-informed ROI analysis and data-driven business cases. - Partner with Engineering and Architecture on system-level design decisions and technical trade-offs; use AI to rapidly evaluate alternative approaches and their downstream implications. - Define and communicate comprehensive release readiness criteria including UAT, operational readiness, clinical validation, data validation, and compliance checks. - Proactively identify and mitigate product and operational risks using AI-assisted risk modeling and scenario planning. Qualifications and Requirements - 5+ years of Product Ownership or Product Management experience. - Demonstrated ownership of complex product domains or multi-team initiatives. - Experience in Scaled Agile environments with distributed teams. - Required: Demonstrated, hands-on experience using AI tools to accelerate product discovery, backlog management, reporting, or stakeholder communication — with specific examples you can speak to. - Experience defining analytics frameworks and KPI measurement models. - Experience developing ROI analyses and business cases. - Proven ability to influence senior stakeholders without formal authority. - Excellent written and verbal communication skills, including executive presentations. - Experience mentoring or leading other Product Owners preferred. - Healthcare, pharmacy, or Medicare Advantage experience preferred. Preferred Experience - Experience using AI tools for qualitative research synthesis, user story generation, or product analytics (e.g., Claude, ChatGPT, Notion AI, or similar). - Familiarity with AI-powered product analytics platforms (e.g., Heap, Amplitude, or similar with AI features). - Experience with prompt engineering in a product management or research context. - Experience with FHIR/HL7 or pharmacy data standards. - MBA or advanced degree.